Integrated Athlete Pathway Interface
Mohanapriya M1, Kamali S2, Arulraj Jebasingh E3, Dhanush K4, Jothi Prakash K5
1 Professor, Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, India,
Email: mohanapriyamcse@siet.ac.in
2 Student, Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, India.
Email: kamalis23cse@srishakthi.ac.in
3 Student, Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, India.
Email: arulrajjebasinghe23cse@srishakthi.ac.in
4 Student, Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, India.
Email: dhanushk23cse@srishakthi.ac.in
5 Student, Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, India.
Email: jothiprakashkk23cse@srishakthi.ac.in
ABSTRACT
The Integrated Athlete Pathway Interface is a user-focused sports development app designed to centralize opportunities from various sources such as leagues, training camps, and competitions. It uses APIs to gather real-time data from trusted platforms and is structured to support future API integrations for extended functionality. The app includes a smart search bar that helps athletes discover relevant training paths and set clear goals, while a built-in guidance tool assists in navigating the application processes for events. Users can bookmark preferred opportunities through a favorites system for quick access later. For organizing practice matches, the platform features automated scheduling and live updates, ensuring smooth interaction between players and organizers. Developed with Flutter on the frontend and Python on the backend, the system combines performance, adaptability, and automation to offer a personalized and scalable environment for athlete progression and goal-oriented pathway tracking.
Keywords: Athlete development, real-time data, API integration, opportunity discovery, training updates, competition access, search tools, favourites system, practice scheduling, automation, Flutter frontend, Python backend, personalized growth, sports navigation, user-centered design.